数据分析师 Agent v3

Name: 数据分析师 Agent v3
Rating: 4.5 (10 reviews)
Author: Derek Cheung

中级

这是一个Engineering, DevOps, Product, AI, IT Ops领域的自动化工作流，包含 10 个节点。主要使用 Set, NocoDbTool, HttpRequest, Agent, ChatTrigger 等节点，结合人工智能技术实现智能自动化。用于电子表格的AI数据分析助手，基于NocoDB平台

前置要求

•可能需要目标 API 的认证凭证
•OpenAI API Key

使用的节点 (10)

分类

工作流预览

可视化展示节点连接关系，支持缩放和平移

聊天触发器

窗口缓冲记忆

提取列

NocoDB

设置

nocodb_extract_table

数据分析师 Agent

OpenAI 聊天模型

React Flow

导出工作流

复制以下 JSON 配置到 n8n 导入，即可使用此工作流

{
  "id": "c9NyXuogJk6PT8Nb",
  "meta": {
    "instanceId": "2723a3a635131edfcb16103f3d4dbaadf3658e386b4762989cbf49528dccbdbd",
    "templateId": "2085"
  },
  "name": "数据分析师 Agent v3",
  "tags": [],
  "nodes": [
    {
      "id": "e0abec7d-6753-42ed-8339-e1ad612797ac",
      "name": "聊天触发器",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        40,
        360
      ],
      "webhookId": "cd05f517-9aec-4e7d-bba8-3747bc8f5ddb",
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "9502381d-518a-4eff-a439-c9efdff782b6",
      "name": "窗口缓冲记忆",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        1000,
        600
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "08621d63-9067-4a92-b6c8-ba129c6adfa0",
      "name": "提取列",
      "type": "n8n-nodes-base.set",
      "position": [
        640,
        360
      ],
      "parameters": {},
      "typeVersion": 3.4
    },
    {
      "id": "2ee6401a-a45c-4c81-83b5-3995a9a25118",
      "name": "NocoDB",
      "type": "n8n-nodes-base.nocoDbTool",
      "position": [
        1200,
        600
      ],
      "parameters": {},
      "typeVersion": 3
    },
    {
      "id": "8e8ce2e3-890a-46cd-a95e-0c355dde8c06",
      "name": "设置",
      "type": "n8n-nodes-base.set",
      "position": [
        240,
        360
      ],
      "parameters": {},
      "typeVersion": 3.4
    },
    {
      "id": "3a986007-32dd-4152-93ca-d8a435603708",
      "name": "nocodb_extract_table",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        440,
        360
      ],
      "parameters": {},
      "typeVersion": 4.2
    },
    {
      "id": "2c594b59-95db-4fd9-bea3-06a861de9766",
      "name": "数据分析师 Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        900,
        360
      ],
      "parameters": {},
      "typeVersion": 1.7
    },
    {
      "id": "6b786282-8782-430b-852a-c60b94e05493",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        200,
        280
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "77cd95ff-dece-4770-9d38-a9cacc174368",
      "name": "OpenAI 聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        840,
        600
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "f9d28f2e-aea8-4b7f-910b-655fac062fb3",
      "name": "便签 6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -680,
        200
      ],
      "parameters": {},
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "1bff47ac-5326-468e-ba56-98d9416997da",
  "connections": {
    "NocoDB": {
      "ai_tool": [
        [
          {
            "node": "Data Analyst Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Settings": {
      "main": [
        [
          {
            "node": "nocodb_extract_table",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Chat Trigger": {
      "main": [
        [
          {
            "node": "Settings",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract_Columns": {
      "main": [
        [
          {
            "node": "Data Analyst Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Data Analyst Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Window Buffer Memory": {
      "ai_memory": [
        [
          {
            "node": "Data Analyst Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "nocodb_extract_table": {
      "main": [
        [
          {
            "node": "Extract_Columns",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

常见问题

如何使用这个工作流？

复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景？

中级 - 工程, 开发运维, 产品, 人工智能, IT 运维

需要付费吗？

本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。

数据分析师 Agent v3

使用的节点 (10)

分类

如何使用这个工作流？

这个工作流适合什么场景？

需要付费吗？

相关工作流推荐